Table II.
Univariable and multivariable logistic regression model results comparing RCR to diabetes and other characteristics.
| Variable | OR† (95% CI) | P value | OR‡ (95% CI) | P value |
|---|---|---|---|---|
| Diabetes | 1.46 (1.43, 1.48) | <.001 | 1.48 (1.46, 1.51) | <.001 |
| Tobacco abuse | 3.94 (3.86, 4.02) | <.001 | 3.91 (3.82, 3.99) | <.001 |
| CCI∗ | 1.02 (1.02, 1.03) | <.001 | 0.95 (0.94, 0.96) | <.001 |
| Age (in 10 yrs) | 1.00 (0.99, 1.01) | 1.00 | 0.97 (0.96, 0.98) | <.001 |
| Sex: male | 1.00 (0.99, 1.01) | 1.00 | 0.96 (0.95, 0.97) | <.001 |
| Years in database | 1.00 (1.00, 1.00) | 1.00 | 1.01 (1.01, 1.01) | <.001 |
| Year of RCR | 1.00 (1.00, 1.00) | 1.00 | 0.99 (0.98, 0.99) | <.001 |
CI, confidence interval; CCI, Charlson comorbidity index; OR, odds ratio; RCR, rotator cuff repair.
The unbolded variables were used to match the cases and controls.
N = 433,001.
∗
CCI calculated excluding points from diabetes (approximately cci-1 for those with diabetes).
†
From univariable models.
‡
From multivariable model.